Unlocking the Secrets of Large Language Models: 2 Key Explainability Methods 🧠
Discover how researchers are making sense of black box AI with two powerful explainability techniques. Join Simeng Sophia Han as she breaks down these approaches to understanding LLMs!
Women in AI Research WiAIR
969 views • Sep 8, 2025
About this video
How do we truly open up large language models? 🤔
In this clip, Simeng Sophia Han breaks down two leading approaches to explainability:
1️⃣ Using natural language explanations directly from the model.
2️⃣ Probing parameters and attention patterns to uncover reasoning inside.
Whether you’re a PhD student diving into interpretability, a senior researcher exploring theory, or an AI practitioner applying models in industry — this is the cutting edge of making LLMs less of a mystery.
💡 What do you think — natural language vs parameter probing: which path holds more promise?
#AI #LLM #Explainability #Interpretability #WiAIR #WiAIRpodcast
In this clip, Simeng Sophia Han breaks down two leading approaches to explainability:
1️⃣ Using natural language explanations directly from the model.
2️⃣ Probing parameters and attention patterns to uncover reasoning inside.
Whether you’re a PhD student diving into interpretability, a senior researcher exploring theory, or an AI practitioner applying models in industry — this is the cutting edge of making LLMs less of a mystery.
💡 What do you think — natural language vs parameter probing: which path holds more promise?
#AI #LLM #Explainability #Interpretability #WiAIR #WiAIRpodcast
Video Information
Views
969
Likes
10
Duration
0:53
Published
Sep 8, 2025